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What Technology Wants
TLDR
The authors posits that "technology is an expression of a self-organizing universe, better understood through the metaphor of biology than engineering." He argues that technology has a life of its own and advances independently of humans.Abstract:
To answer these questions, he posits that "technology is an expression of a self-organizing universe, better understood through the metaphor of biology than engineering." He argues that "technology has a life of its own and advances independently of humans. Technology in this sense is a product of ideas, plus actions and choices, that allow an individual to generate and participate in a greater number of ideas."read more
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Book
Alone Together: Why We Expect More from Technology and Less from Each Other
TL;DR: In Alone Together as mentioned in this paper, MIT technology and society professor Sherry Turkle explores the power of our new tools and toys to dramatically alter our social lives and argues that despite the handwaving of todays self-described prophets of the future, it will be the next generation who will chart the path between isolation and connectivity.
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Design Science Research Contributions: Finding a Balance between Artifact and Theory
Richard L. Baskerville,Richard L. Baskerville,Abayomi Baiyere,Shirley Gregor,Alan R. Hevner,Matti Rossi +5 more
TL;DR: This editorial provides some constructive guidance across different positioning statements with actionable recommendations for DSR authors and reviewers to serve as a foundational step towards clarifying misconceptions about DSR contributions.
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Machine learning, social learning and the governance of self-driving cars:
TL;DR: Focusing on the successes and failures of social learning around the much-publicized crash of a Tesla Model S in 2016, it is argued that trajectories and rhetorics of machine learning in transport pose a substantial governance challenge.
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Architecture, constraints, and behavior
John Doyle,Marie Csete +1 more
TL;DR: This paper aims to bridge progress in neuroscience involving sophisticated quantitative analysis of behavior, including the use of robust control, with other relevant conceptual and theoretical frameworks from systems engineering, systems biology, and mathematics.
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Digital consumption and the extended self
TL;DR: The human–machine digital interface results in a series of challenging theoretical issues that cause us to rethink the notion of extended self, the body and the relationship between objects and consumers in digital environments.
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